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Update app.py
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app.py
CHANGED
@@ -6,7 +6,7 @@ import numpy as np
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# Function to train the model and generate forecast
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def predict_sales(time_frame):
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all_sales_data = pd.read_csv('
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# Clean up the 'Total paid' column by splitting based on '₨' symbol and converting to float
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def clean_total_paid(val):
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# Function to train the model and generate forecast
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def predict_sales(time_frame):
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all_sales_data = pd.read_csv('All sales - House of Pizza.csv')
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# Clean up the 'Total paid' column by splitting based on '₨' symbol and converting to float
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def clean_total_paid(val):
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